Zhidong Deng

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 3 papers; trusts 680 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 95 citations into it; #17,228 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 46 citations into it
• Model Architectures — 23 citations into it
• Natural Language Processing — 17 citations into it
• Aerospace Engineering — 16 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Zhidong Deng trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Kaiming He
3. Yann LeCun
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Christian Szegedy
7. Ross B. Girshick
8. Diederik P. Kingma
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Zhidong Deng overall

1. Xiaohui Yuan

Papers from Zhidong Deng's perspective

Ordered by how strongly the researchers Zhidong Deng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• SegStereo: Exploiting Semantic Information for Disparity Estimation (2018) — 377 citations
• Recent progress in semantic image segmentation (2018) — 488 citations
• Densely Connected CNN with Multi-scale Feature Attention for Text Classification (2018) — 179 citations